{
    "meta_info": {
        "case_id": "MentalArithmetic_01.edf",
        "bench_subset": "NeuroBench-Core",
        "difficult": 1.5,
        "original_dataset": "MentalArithmetic"
    },
    "agent_input": {
        "data_path": "data/core/MentalArithmetic_01.edf",
        "instruction": "Please select the two specified EEG channels C3 and C4 from the raw signal, apply an 8-30Hz FIR bandpass filter, plot the power spectral density, and save the PSD figure to the file_check directory with the filename MentalArithmetic_01_case18_psd.png."
    },
    "eval_config": {
        "parser_prompt": "### ROLE\nYou are a precise JSON Extraction Engine for neurophysiological data. Your sole task is to convert natural language reports into structured JSON data.\n\n### TASK\nExtract the saved image file path from the agent report.\n\n### STRICT CONSTRAINTS (MANDATORY)\n1. Output ONLY a valid JSON object.\n2. DO NOT include Markdown code blocks.\n3. DO NOT include any conversational text or explanations.\n4. The JSON key must be EXACTLY \"file_path\".\n5. The value must be a string file path or null.\n6. If the report does not clearly provide a saved image file path, return null.\n\n### OUTPUT TEMPLATE\n{\"file_path\": \"file_check/example_psd.png\"}",
        "metrics": [
            {
                "metric_id": "ab_psd_png",
                "type": "file_status_check",
                "target_key": "file_path",
                "weight": 100,
                "params": {
                    "match_mode": "image_file_match",
                    "validator_config": {
                        "file_name": {
                            "value": "MentalArithmetic_01_case18_psd.png"
                        },
                        "vlm_prompt": {
                            "value": "You are judging whether a saved image correctly satisfies an EEG plotting task. Check the image only. The task requirement is: use exactly two EEG channels C3 and C4, apply an alpha+beta bandpass filter, interpret alpha+beta as 8-30Hz, and plot the power spectral density (PSD). Return pass only if the image is clearly an EEG PSD plot that is visually consistent with two selected channels filtered to the 8-30Hz range. Specifically verify: (1) this is a PSD/frequency-domain plot rather than a waveform, topomap, or unrelated figure; (2) the plot appears to represent two-channel PSD content rather than a single-channel plot or a dense multi-channel plot; (3) the figure is consistent with channels C3 and C4 being the selected inputs rather than arbitrary other channels; (4) the dominant visible frequency content is concentrated in the alpha+beta range interpreted as 8-30Hz; (5) the image does not prominently preserve broad low-frequency or >30Hz high-frequency structure as the main retained content; (6) the image is not blank, corrupted, pure black, pure white, or only an empty coordinate frame. If any of these checks fail or cannot be confidently confirmed, return fail. Output only a valid JSON object. The JSON must contain exactly one key named status. The value of status must be either True or False. Do not output Markdown, explanations, additional fields, or any natural language.",
                            "weight": 100
                        }
                    }
                }
            }
        ]
    }
}